Information Security Commons^™

Significance Of Semantic Reconciliation In Digital Forensics, Nickson M. Karie, H. S. Venter

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital forensics (DF) is a growing field that is gaining popularity among many computer professionals, law enforcement agencies and other stakeholders who must always cooperate in this profession. Unfortunately, this has created an environment replete with semantic disparities within the domain that needs to be resolved and/or eliminated. For the purpose of this study, semantic disparity refers to disagreements about the meaning, interpretation, descriptions and the intended use of the same or related data and terminologies. If semantic disparity is not detected and resolved, it may lead to misunderstandings. Even worse, since the people involved may not be from the …

System-Generated Digital Forensic Evidence In Graphic Design Applications, Enos Mabuto, Hein Venter

Annual ADFSL Conference on Digital Forensics, Security and Law

Graphic design applications are often used for the editing and design of digital art. The same applications can be used for creating counterfeit documents such as identity documents (IDs), driver’s licences, passports, etc. However, the use of any graphic design application leaves behind traces of digital information that can be used during a digital forensic investigation. Current digital forensic tools examine a system to find digital evidence, but they do not examine a system specifically for the creating of counterfeit documents created through the use of graphic design applications. The paper in hand reviews the system-generated digital forensic evidence gathered …

Money Laundering Detection Framework To Link The Disparate And Evolving Schemes, Murad Mehmet, Duminda Wijesekera, Miguel F. Buchholtz

Annual ADFSL Conference on Digital Forensics, Security and Law

Money launderers hide traces of their transactions with the involvement of entities that participate in sophisticated schemes. Money laundering detection requires unraveling concealed connections among multiple but seemingly unrelated human money laundering networks, ties among actors of those schemes, and amounts of funds transferred among those entities. The link among small networks, either financial or social, is the primary factor that facilitates money laundering. Hence, the analysis of relations among money laundering networks is required to present the full structure of complex schemes. We propose a framework that uses sequence matching, case-based analysis, social network analysis, and complex event processing …

Identifying Peer-To-Peer Traffic On Shared Wireless Networks, Simon Piel, Ej Jung

Annual ADFSL Conference on Digital Forensics, Security and Law

Tracing contraband downloads leads investigators to an IP address, and in turn Internet Service Providers (ISP) can provide a physical location using this IP address. However, most homes and offices share this IP address among many computers using wireless networks. In other words, there needs to be another investigation to find out which computer was responsible for contraband downloads. To make matters worse, these shared wireless networks often have vulnerabilities in access control such as using WEP or using weak passwords. In such cases, any computer in range, not necessarily at the given physical address, could be responsible. We use …

On Resolving The Cloud Forensics Conundrum, John Bagby

Annual ADFSL Conference on Digital Forensics, Security and Law

The “cloud” is idiom for an ill-defined set of online services. The cloud simultaneously offers IT savings and promises advances in functionality (e.g., ubiquity). However, the cloud also imposes poorly understood burdens on security and it may provoke injustice. Thus, the cloud presents a durable and seemingly irreconcilable conundrum for the digital forensics communit(ies). First, cloud proponents make efficiency promises for cloud services (SaaS, IaaS, PaaS). These translate well into the digital forensics domain. Indeed, the cloud may enable crowd sourcing of investigatory data vastly lowering costs of dispute resolution. For example, cloud-based litigation war rooms may reduce electronic discovery …

Cybercrime And Punishment: An Analysis Of The Deontological And Utilitarian Functions Of Punishment In The Information Age, Karim Jetha

Annual ADFSL Conference on Digital Forensics, Security and Law

This conceptual piece analyzes the role of criminal punishment and the nature of cyber crime to investigate whether the current punishment schemes are appropriate given the deontological and utilitarian goals of punishment: retribution, deterrence, incapacitation, and rehabilitation. The research has implications for policymaking in cybercriminal law.

Keywords: cybercrime, criminal law, punishment, retribution, deterrence, information economics

The Development Of Computer Forensic Legal System In China, Yonghao Mai, K. P. Chow, Rongsheng Xu, Gang Zhou, Fei Xu, Jun Zhang

Annual ADFSL Conference on Digital Forensics, Security and Law

The computer forensic discipline was established around 2000 in China, which was further developed along with Chinese judicial appraisal system in 2005. The new criminal and civil procedure laws of the People’s Republic of China was enacted on 1 Jan 2013. The new laws specified electronic data is legal evidence and has great impact on the current practice on handling electronic evidence. This paper introduces the electronic data and electronic evidence examination procedure in mainland China, the general concept of computer forensic legal system, the management of computer judicial experts, the management of computer judicial expertise institutions.

Keywords: China legal …

A New Unpredictability-Based Rfid Privacy Model, Anjia Yang, Yunhui Zhuang, Duncan S. Wong, Guomin Yang

Research Collection School Of Computing and Information Systems

Ind-privacy and unp-privacy, later refined to unp∗-privacy, are two different classes of privacy models for RFID authentication protocols. These models have captured the major anonymity and untraceability related attacks regarding RFID authentication protocols with privacy, and existing work indicates that unp∗-privacy seems to be a stronger notion when compared with ind-privacy. In this paper, we continue studying the RFID privacy models, and there are two folds regarding our results. First of all, we describe a new traceability attack and show that schemes proven secure in unp∗-privacy may not be secure against this new and practical type of traceability attacks. We …

Attribute-Based Access To Scalable Media In Cloud-Assisted Content Sharing, Yongdong Wu, Zhuo Wei, Robert H. Deng

Research Collection School Of Computing and Information Systems

This paper presents a novel Multi-message Ciphertext Policy Attribute-Based Encryption (MCP-ABE) technique, and employs the MCP-ABE to design an access control scheme for sharing scalable media based on data consumers’ attributes (e.g., age, nationality, gender) rather than an explicit list of the consumers’ names. The scheme is efficient and flexible because MCP-ABE allows a content provider to specify an access policy and encrypt multiple messages within one ciphertext such that only the users whose attributes satisfy the access policy can decrypt the ciphertext. Moreover, the paper shows how to support resource-limited mobile devices by offloading computational intensive perations to cloud …

A Modified Anonymisation Algorithm Towards Reducing Information Loss., Rose Tinabo

Doctoral

The growth of various technologies in the modern digital world results in the col- lection and storage of huge amounts of individual's data. In addition of providing direct services delivery, this data can be used for other non-direct activities known as secondary use. This includes activities such as doing research, analysis, quality and safety measurement, public health, and marketing.

Think Twice Before You Share: Analyzing Privacy Leakage Under Privacy Control In Online Social Networks, Yan Li, Yingjiu Li, Qiang Yan, Robert H. Deng

Research Collection School Of Computing and Information Systems

Online Social Networks (OSNs) have become one of the major platforms for social interactions. Privacy control is deployed in popular OSNs to protect user’s data. However, user’s sensitive information could still be leaked even when privacy rules are properly configured. We investigate the effectiveness of privacy control against privacy leakage from the perspective of information flow. Our analysis reveals that the existing privacy control mechanisms do not protect the flow of personal information effectively. By examining typical OSNs including Facebook, Google+, and Twitter, we discover a series of privacy exploits which are caused by the conflicts between privacy control and …

Launching Generic Attacks On Ios With Approved Third-Party Applications, Jin Han, Mon Kywe Su, Qiang Yan, Feng Bao, Robert H. Deng, Debin Gao, Yingjiu Li, Jianying Zhou

Research Collection School Of Computing and Information Systems

iOS is Apple’s mobile operating system, which is used on iPhone, iPad and iPod touch. Any third-party applications developed for iOS devices are required to go through Apple’s application vetting process and appear on the official iTunes App Store upon approval.When an application is downloaded from the store and installed on an iOS device, it is given a limited set of privileges, which are enforced by iOS application sandbox. Although details of the vetting process and the sandbox are kept as black box by Apple, it was generally believed that these iOS security mechanisms are effective in defending against malwares. …

Mitigating Access-Driven Timing Channels In Clouds Using Stopwatch, Peng Li, Debin Gao, Michael K. Reiter

Research Collection School Of Computing and Information Systems

This paper presents StopWatch , a system that defends against timing-based side-channel attacks that arise from coresidency of victims and attackers in infrastructure-as-a-service clouds. StopWatchtriplicates each cloud-resident guest virtual machine (VM) and places replicas so that the three replicas of a guest VM are coresident with nonoverlapping sets of (replicas of) other VMs. StopWatch uses thetiming of I/O events at a VM's replicas collectively to determine the timings observed by each one or by an external observer, so that observable timing behaviors are similarly likely in the absence of any other individual, coresident VM. We detail the design and implementation …

Improving Internet Security Through Social Information And Social Comparison: A Field Quasi-Experiment, Qian Tang, Leigh L. Linden, John S. Quarterman, Andrew B. Whinston

Research Collection School Of Computing and Information Systems

Cybersecurity is a national priority in this big data era. Because of negative externalities and the resulting lack of economic incentives, companies often underinvest in security controls, despite government and industry recommendations. Although many existing studies on security have explored technical solutions, only a few have looked at the economic motivations. To fill the gap, we propose an approach to increase the incentives of organizations to address security problems. Specifically, we utilize and process existing security vulnerability data, derive explicit security performance information, and disclose the information as feedback to organizations and the public. We regularly release information on the …

Distortion Tolerant Source Code Using Viterbi Algorithm, Christopher Hankins

Electrical Engineering Undergraduate Honors Theses

Convolutional codes are used in digital communication systems in order to protect information from distortion and increase system reliability. One of the most efficient methods for decoding convolutional codes is based on the Viterbi Algorithm. Considering the fundamental similarities between these channel codes and source codes, it is logical to postulate that the Viterbi Algorithm may also provide a basis for the implementation of an efficient lossy source code. In this thesis, the Viterbi Algorithm is used to used to compress digital data from a symmetric Bernoulli source. The Viterbi source code is simulated and shown to produce results which …

Onespace: Shared Depth-Corrected Video Interaction, David Ledo, Bon Adriel Aseniero, Sebastian Boring, Anthony Tang

Research Collection School Of Computing and Information Systems

Video conferencing commonly employs a video portal metaphor to connect individuals from remote spaces. In this work, we explore an alternate metaphor, a shared depth mirror, where video images of two spaces are merged into a single shared, depth-corrected video. Just as seeing one’s mirror image causes reflective interaction, the shared video space changes the nature of interaction in the video space. We realize this metaphor in OneSpace, where the space respects virtual spatial relationships between people and objects, and in so doing, encourages cross-site, full-body interactions. We report preliminary observations of OneSpace in use, describing the role of depth …

A Secure And Fair Resource Sharing Model For Community Clouds, Santhosh S. Anand

Graduate Theses and Dissertations

Cloud computing has gained a lot of importance and has been one of the most discussed segment of today's IT industry. As enterprises explore the idea of using clouds, concerns have emerged related to cloud security and standardization. This thesis explores whether the Community Cloud Deployment Model can provide solutions to some of the concerns associated with cloud computing. A secure framework based on trust negotiations for resource sharing within the community is developed as a means to provide standardization and security while building trust during resource sharing within the community. Additionally, a model for fair sharing of resources is …

Simulation And Analysis Of Insider Attacks, Christopher Blake Clark

UNLV Theses, Dissertations, Professional Papers, and Capstones

An insider is an individual (usually an employee, contractor, or business partner) that has been trusted with access to an organization's systems and sensitive data for legitimate purposes. A malicious insider abuses this access in a way that negatively impacts the company, such as exposing, modifying, or defacing software and data.

Many algorithms, strategies, and analyses have been developed with the intent of detecting and/or preventing insider attacks. In an academic setting, these tools and approaches show great promise. To be sure of their effectiveness, however, these analyses need to be tested. While real data is available on insider attacks …

The Chain-Link Fence Model: A Framework For Creating Security Procedures, Robert F. Houghton

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Information technology security professionals are facing an ever growing threat to the networks that they defend. The process for creating procedures to help stem this threat is very difficult for security professionals. The Chain-Link Fence Model helps security professionals by guiding them through the process of creating and implementing new security procedures.

Designing Leakage-Resilient Password Entry On Touchscreen Mobile Devices, Qiang Yan, Jin Han, Yingjiu Li, Jianying Zhou, Robert H. Deng

Research Collection School Of Computing and Information Systems

Touchscreen mobile devices are becoming commodities as the wide adoption of pervasive computing. These devices allow users to access various services at anytime and anywhere. In order to prevent unauthorized access to these services, passwords have been pervasively used in user authentication. However, password-based authentication has intrinsic weakness in password leakage. This threat could be more serious on mobile devices, as mobile devices are widely used in public places. Most prior research on improving leakage resilience of password entry focuses on desktop computers, where specific restrictions on mobile devices such as small screen size are usually not addressed. Meanwhile, additional …